Tensor-network frontends compress inputs for MPC-secured federated learning, after which a quantum-enhanced processor refines the aggregated latent features, with TTN+QEP showing the most balanced performance on PneumoniaMNIST.
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit
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A literature review of VQAs covering ansatz design, classical optimization, barren plateaus, error mitigation strategies, and theoretical adaptations for fault-tolerant quantum computing.
citing papers explorer
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Quantum-Enhanced Processing with Tensor-Network Frontends for Privacy-Aware Federated Medical Diagnosis
Tensor-network frontends compress inputs for MPC-secured federated learning, after which a quantum-enhanced processor refines the aggregated latent features, with TTN+QEP showing the most balanced performance on PneumoniaMNIST.
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A Review of Variational Quantum Algorithms: Insights into Fault-Tolerant Quantum Computing
A literature review of VQAs covering ansatz design, classical optimization, barren plateaus, error mitigation strategies, and theoretical adaptations for fault-tolerant quantum computing.